iPhone 14 Pro
Geekbench AI Score
3389
Single Precision Score
21676
Half Precision Score
25623
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 06:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
6648
1.24 KIPS |
|
|
Image Classification (Q)
|
97% |
10999
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16178
262.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19037
308.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6517
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
96318
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102743
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
12153
964.0 IPS |
|
|
Object Detection (Q)
|
91% |
14788
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
31103
369.6 IPS |
|
|
Face Detection (Q)
|
100% |
40030
475.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5289
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
68392
526.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
86741
678.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18586
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
174303
224.1 IPS |
|
|
Style Transfer (Q)
|
96% |
170703
220.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29950
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33100
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2308
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6907
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8468
146.3 IPS |
